Kinetic Intersections as a Source of Information on Rate Coefficients

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Implementation of a Social Network Information Dissemination Model Incorporating Negative Relationships

For the study of information dissemination in online social networks, most existing information dissemination models include only positive relationships, ignoring the existence and importance of negative relationships, and do not consider the influence of inter-individual relationship polarity on dissemination. To solve these problems, we propose a social network information dissemination model incorporating negative relationships in this paper. Drawing on the state concept of the SIR (Susceptible Infected Recovered) model, the three types of SIR states are subdivided into five sub-states. Combining the advantages of the viewpoint evolution model, the influence of relational polarity on node attitudes is added to the modeling of the propagation process. The experiment proves that the method proposed in this paper can show more specifically the changing trend in the number of propagation nodes with different attitudes and portray the process of information propagation in online social networks

The competitiveness of nations and implications for human development

This is the post-print version of the final paper published in Socio-Economic Planning Sciences. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.Human development should be the ultimate objective of human activity, its aim being healthier, longer, and fuller lives. Thus, if the competitiveness of a nation is properly managed, enhanced human welfare should be the key expected consequence. The research described here explores the relationship between the competitiveness of a nation and its implications for human development. For this purpose, 45 countries were evaluated initially using data envelopment analysis. In this stage, global competitiveness indicators were taken as input variables with human development index indicators as output variables. Subsequently, an artificial neural network analysis was conducted to identify those factors having the greatest impact on efficiency scores

A Review of Recent Studies on Cost Effectiveness of GHG Mitigation Measures in the European Agro-Forestry Sector

Over the last twenty years, climate change has become an increasing concern for scientists, public opinions and policy makers. Due to the pervasive nature of its impacts for many important aspects of human life, climate change is likely to influence and be influenced by the most diverse policy or management choices. This is particularly true for those interventions affecting agriculture and forestry: they are strongly dependent on climate phenomena, but also contribute to climate evolution being sources of and sinks for greenhouse gases. This paper offers a survey of the existing literature assessing cost, effectiveness and efficiency of greenhouse gas mitigation strategies, or broader economic reforms, targeted to the agricultural and forestry sectors. The specific focus is on European Countries. Different methodological approaches, research questions addressed and results are examined. The main finding is that agriculture and forestry can potentially provide GHG reduction at a competitive cost. Nevertheless this cost is positive; accordingly, mitigation policies should be carefully designed either to balance costs with expected benefits or to avoid excessive penalisation of the sectors involved. Finally needs are highlighted for improving the existing knowledge and research methodologies.Agriculture, Forestry, Climate Change, Greenhouse Gases, Policy Measures, Cost-Effectiveness, Meacap